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Data Systems Jobs (NOW HIRING)

RR

Data Systems/Solutions Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Position Summary The Data Systems / Solutions Engineer serves as a key technical contributor within the Regenstrief Data Services team, functioning as a full-stack DataOps/MLOps engineer supporting ...

KBR

Big Data Systems Engineer

Los Angeles, CA · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR

Big Data Systems Engineer

Tampa, FL · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR, Inc.

Big Data Systems Engineer

Niceville, FL · On-site

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

MHI

Program Manager, Data Systems

Orlando, FL · On-site

Mitsubishi Power Americas, Inc., in Orlando, Florida, is looking for a Program Manager, Data Systems. Company Overview At Mitsubishi Power, we're not just building better clean energy technologies; w ...

KBR

Big Data Systems Engineer

Washington, DC · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

Douro Labs

Data Systems Operations Lead

We are looking for a Data Systems Operations Lead to architect and run mission-critical operations for Pyth's Price Feeds, our real-time, distributed market data infrastructure. You'll ensure our ...

KBR

Big Data Systems Engineer

Huntsville, AL · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

Gamma

Software Engineer, Data Systems

San Francisco, CA

$134K - $162K/yr

Design and architect distributed data systems that scale to orders of magnitude more data volume while maintaining world-class query performance * Lead initiatives to build and optimize CDC (change ...

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Data Systems information

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$46K

$112K

$197K

How much do data systems jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data systems in the United States is $111,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Data Systems roles, and how can they be addressed?

Professionals in Data Systems often encounter challenges such as integrating diverse data sources, ensuring data quality, and maintaining system scalability as data volumes grow. Addressing these issues usually involves working closely with cross-functional teams, adopting robust data governance practices, and leveraging automation tools for data validation and transformation. Proactively staying up-to-date with emerging technologies and industry standards can also help mitigate technical hurdles and ensure system reliability.

What are the key skills and qualifications needed to thrive in Data Systems, and why are they important?

To thrive in Data Systems, you need expertise in data management, database design, and data analysis, typically supported by a degree in computer science or information systems. Familiarity with SQL, data warehousing tools, cloud platforms, and relevant certifications such as AWS Certified Data Analytics or Microsoft Certified: Data Analyst Associate is often required. Strong problem-solving skills, attention to detail, and effective communication set top professionals apart in this field. These skills and qualifications are crucial to efficiently manage, secure, and leverage data for informed business decision-making.

What is the difference between Data Systems vs Data Analysts?

AspectData SystemsData Analysts
Required CredentialsTypically certifications in database management, data architecture, or related fieldsOften hold degrees or certifications in data analysis, statistics, or business intelligence
Work EnvironmentWork with database systems, data infrastructure, and software toolsAnalyze data sets, create reports, and interpret data insights
Employer & Industry UsageUsed in IT, data management, and enterprise systems across various industriesCommon in marketing, finance, healthcare, and business sectors

Data Systems focus on managing, maintaining, and optimizing data infrastructure, while Data Analysts interpret data to support decision-making. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are data systems?

Data systems are organized collections of hardware, software, procedures, and personnel designed to capture, store, manage, and analyze data. They help organizations collect information from various sources, store it efficiently, and make it accessible for analysis and decision-making. Data systems can include databases, data warehouses, data lakes, and cloud storage solutions. They play a crucial role in supporting business operations, analytics, and reporting by ensuring data integrity and security.
More about Data Systems jobs
What cities are hiring for Data Systems jobs? Cities with the most Data Systems job openings:
What are the most commonly searched types of Data Systems jobs? The most popular types of Data Systems jobs are:
What states have the most Data Systems jobs? States with the most job openings for Data Systems jobs include:
Data Systems jobs near you
Infographic showing various Data Systems job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $111,995 per year, or $53.8 per hour.

Data Systems/Solutions Engineer

RR

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Life, Retirement, PTO

Posted 13 days ago

Job description

Position Summary
The Data Systems / Solutions Engineer serves as a key technical contributor within the Regenstrief Data Services team, functioning as a full-stack DataOps/MLOps engineer supporting research and analytics initiatives. This role is responsible for designing, building, and maintaining scalable, reliable data systems and pipelines that enable high-quality data ingestion, transformation, storage, and analysis.
The position emphasizes the development of robust, secure, and reproducible data infrastructure that supports data science, analytics, and AI-driven research. The Engineer applies modern software engineering and data engineering practices to ensure data assets are accessible, well-governed, and aligned with clinical and research requirements.
This position is a hybrid position with at least one (1) to two (2) days of onsite activity based on business needs. This position is located in downtown Indianapolis IN.
Essential Duties and Responsibilities
Data Systems Engineering and Operations:
  • Design, build, and maintain data platforms, pipelines, and services that support research, analytics, and AI/ML workloads.
  • Develop and maintain scalable data architectures using modern data warehouse/lakehouse patterns.
  • Ensure data systems are reliable, performant, and designed for long-term sustainability.
  • Implement and maintain ETL/ELT workflows, data validation, and quality monitoring processes.

DataOps / MLOps Enablement:
  • Implement CI/CD practices for data and ML workflows, including testing, version control, and environment promotion.
  • Support reproducible analytics and ML pipelines, including experiment tracking and model lifecycle considerations.
  • Apply best practices for monitoring, observability, and incident response across data systems.

Cloud, Security, and Governance
  • Design and maintain cloud-based data solutions using secure and scalable architectural patterns.
  • Apply data governance, access control, and auditing practices consistent with HIPAA-aligned research environments.
  • Ensure appropriate handling of sensitive data through de-identification, access management, and compliance controls.
  • Optimize performance and cost efficiency across compute and storage resources.

Clinical and Research Data Support
  • Work with clinical and research stakeholders to translate domain requirements into technical solutions.
  • Support integration and use of clinical and biomedical data standards (e.g., EHR data, HL7/FHIR, OMOP).
  • Produce well-documented data assets and technical specifications to support reuse and transparency.

Collaboration and Project Support
  • Collaborate with data engineers, researchers, analysts, and project managers to deliver high-quality solutions.
  • Contribute to project planning, estimation, and execution.
  • Serve as a technical resource to team members and stakeholders.
  • Document systems, workflows, and architectural decisions clearly and consistently.

Continuous Learning and Innovation
  • Maintain current knowledge of emerging tools, technologies, and best practices in data engineering and AI.
  • Leverage AI-assisted development tools responsibly to improve productivity and code quality.
  • Participate in continuous improvement efforts across systems, processes, and workflows.

Knowledge, Skills, and Abilities
Technical Knowledge:
  • Proficiency in modern data engineering concepts, including:
    • Data warehouse and lakehouse architectures
    • Dimensional modeling and data transformation patterns
    • SQL and at least one general-purpose programming language (e.g., Python)
  • Experience with CI/CD pipelines and automated testing for data and ML workflows
  • Familiarity with data quality frameworks, lineage tracking, and observability tools
  • Understanding of cloud platforms, identity and access management, and security best practices
  • Knowledge of clinical and biomedical data standards and research workflows preferred

Analytical and Problem-Solving Skills
  • Ability to analyze complex technical problems and implement effective solutions
  • Strong troubleshooting skills across data ingestion, transformation, and delivery layers
  • Ability to balance reliability, performance, and cost considerations

Communication and Collaboration
  • Strong written and verbal communication skills
  • Ability to document technical concepts clearly for both technical and non-technical audiences
  • Demonstrated ability to collaborate effectively in multidisciplinary teams

Education and Experience
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field required; Master's degree preferred.
  • Minimum of three (3) years of professional experience in data engineering, systems engineering, or a related technical role.
  • Demonstrated experience in:
    • Data platform or data pipeline development
    • Cloud-based data system
    • SQL and programmatic data processing
    • DataOps or MLOps practices

Performance Expectations
  • Works independently within established guidelines and best practices.
  • Produces high-quality work with minimal supervision.
  • Demonstrates sound judgment and attention to detail.
  • Contributes to continuous improvement of tools, processes, and team effectiveness.

Physical Demands
  • Ability to work standard business hours with flexibility as needed.
  • Ability to sit or stand for extended periods.
  • Ability to operate a computer and standard office equipment.
  • Ability to lift and move materials up to 20 pounds as needed.
  • Ability to travel occasionally for meetings or training.

Work Environment
  • Hybrid office and research environment.
  • Fast-paced, deadline-driven setting.
  • Requires collaboration with internal teams and external partners.
  • Regular use of computers, communication tools, and office equipment.

BENEFITS OF WORKING HERE
  • Work with a variety of diverse professionals in the healthcare industry
  • Free parking
  • Paid holidays, vacation, and sick time
  • Group Life and Voluntary Term Life insurance
  • Long-term and Short-term Disability plans
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)
  • 403b Retirement Plan with gracious employer contributions
  • Fitness program
  • Pet insurance
  • Qualified employer for loan forgiveness

Please note sponsorship and/or relocation are not available for this position.
REGENSTRIEF INSTITUTE REQUIRES ALL EMPLOYEES TO RECEIVE THE INFLUENZA VACCINATION ANNUALLY UNLESS APPROVED FOR EXEMPTION.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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